Low-level Senior Software Engineer, Xet Storage

Team: IT

Location: Spain

Commitment: Full-time

Workplace Type: remote

Accountabilities

You will contribute to the design, development, and operation of advanced storage systems while helping build reliable infrastructure at global scale. Your main responsibilities will include:

• Design, develop, and maintain high-performance storage systems and backend infrastructure.
• Build and improve low-level systems software supporting large-scale data storage and retrieval.
• Contribute to open-source projects written in Rust and other technologies powering AI development workflows.
• Develop meaningful features within storage architecture, focusing on scalability, reliability, and performance.
• Solve complex engineering challenges related to distributed systems, data management, and infrastructure operations.
• Design solutions that support massive volumes of machine learning models, datasets, and digital assets.
• Operate production systems by improving monitoring, observability, reliability, and fault tolerance.
• Investigate and resolve complex technical issues through debugging and distributed system analysis.
• Collaborate with infrastructure, engineering, and product teams to deliver robust technical solutions.
• Take ownership of projects from technical design through implementation, deployment, and optimization.
• Work effectively in an asynchronous, remote environment with a high degree of autonomy.
• Continuously improve engineering practices and contribute technical knowledge to the wider community.

Requirements:

The ideal candidate is an experienced systems engineer with a strong background in distributed infrastructure, low-level programming, and scalable production systems. The required qualifications and skills include:

• 8+ years of experience building and scaling distributed systems, storage platforms, or networking infrastructure.
• Strong proficiency in a low-level programming language, with Rust experience strongly preferred.
• Experience with systems programming and designing reliable, high-performance software.
• Proven ability to independently own complex technical projects in a high-trust, low-process environment.
• Experience working with large-scale production systems and solving complex infrastructure challenges.
• Strong understanding of distributed architectures, reliability, performance optimization, and fault tolerance.
• Comfortable working in a fast-paced, asynchronous, and fully remote environment.
• Passion for building simple, robust, and scalable systems used by engineering and research communities.
• Strong problem-solving skills and ability to navigate technical ambiguity.

Additional experience that would be considered an advantage:

• Experience designing efficient storage systems, data retrieval platforms, or large-scale infrastructure.
• Experience operating production systems, including monitoring, alerting, debugging, and recovery processes.
• Familiarity with Git internals, cloud platforms such as AWS, Azure, or GCP.
• Experience with Kubernetes, databases, networking technologies, or infrastructure automation.
• Knowledge of additional programming languages such as Python, TypeScript, Go, or C++.

Benefits:

• Fully remote work environment with flexible working hours.
• Opportunity to work on large-scale infrastructure supporting global AI and machine learning communities.
• Competitive compensation package including employee equity opportunities.
• Health, dental, and vision benefits for employees and dependents.
• Flexible paid time off and parental leave.
• Support for professional development through conferences, training, and educational opportunities.
• Access to a global, distributed team of highly skilled engineers and AI professionals.
• Opportunity to visit international office locations when needed.
• Home office support and equipment to help you succeed remotely.
• Inclusive and collaborative culture focused on innovation, impact, and continuous learning.
• Opportunity to contribute to open-source projects and advance the AI ecosystem.